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Data Streaming Infrastructure Specialist

1 semana atrás


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Riskified empowers businesses to unlock e-commerce growth by eliminating risk. Our platform is trusted by the world's biggest brands and publicly traded companies selling online, providing guaranteed protection against chargebacks, fraud prevention, and customer retention.

About the Role

We're seeking a talented multi-disciplinary Data Platform Engineer with a passion for infrastructure, who will be responsible for the performance, scale, and stability of our core streaming platform. As a data-driven organization, we ingest massive amounts of data at high rates, demanding scalable and resilient solutions.

As a key member of the Data Platform group, you'll develop self-service tools that support the accessibility of our platform for other dev departments. We rely on your expertise to consult and share knowledge with others.

  • Design and implement a future-proof data streaming platform in Riskified, ensuring real-time and near-real-time scalability and resilience.
  • Administrate, provision, and monitor our streaming platform to guarantee seamless operation.
  • Maintain and enhance the Streaming related Application infrastructure, continuously improving its performance.
  • Collaborate with development teams and mentor colleagues to drive innovation and knowledge sharing.
  • Apply creativity to resolve complex and high-scale data-related issues, utilizing your technical expertise.
  • Research new technologies, starting from proof-of-concept to production-grade systems, driving continuous improvement.
Qualifications
  1. A minimum of 3 years of experience as a Data Engineer or Big Data Infrastructure engineer.
  2. Hands-on experience with Data Streaming technologies: Apache Kafka, Apache Pulsar, Spark Streaming, Kstream, and Apache Flink.
  3. Bachelor's degree in Computer Science (or equivalent).
  4. Experience working on high-scale, production-grade projects, delivering results under tight deadlines.
Advantage
  1. Experience with the Cloud Native stack: Kubernetes, Prometheus, Istio, etc.
  2. Experience with cloud providers: AWS, Google, etc.
  3. Proficiency with Infrastructure tools: Helm, Ansible, Terraform, etc.
  4. Knowledge of Scala programming language.